A Beginners guide to RPA Lifecycle

The Robotic Process Automation (RPA) concept has already crossed its nascent stage as many enterprises have integrated it into existing business systems. These days, entrepreneurs focus on RPA lifecycle management to make the most from the RPA integration. It can help them achieve the full value of the potential of RPA solutions simply by maximizing the resilience for both remote and in-office workforce.

Managing the RPA development lifecycle is a complex process. It is imperative to examine and manage the bot during different RPA life cycle stages. Also, it is necessary to eliminate sub-optimal or substandard practices to prevent the bot's failure. In this post, we will going through the best practices for RPA lifecycle management. But, before moving ahead, let us understand what RPA development life cycle is and define all its phases.

Brief Introduction of RPA Lifecycle Management

The RPA lifecycle is the structure that shows the way automation is delivered and executed for the given process. It consists of different phases ranging from identifying the tasks for automation to deployment of a customized bot and its continuous monitoring.

Similar to this, RPA lifecycle management involves managing every stage of a bot's life. It is useful in ensuring that the RPA bot delivers the business value as per the expectation. Simply put, RPA lifecycle management offers a seamless process automation while ensuring that the bot fulfills its requirements effectively. Also, companies can get a segmented process to ensure that all the RPA life cycle phases can be assessed and improved if necessary to enhance the overall performance.

Major Stages of RPA Development Life Cycle

We can segregate RPA lifecycle into seven stages. Here are all these stages.

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